Artsy is seeking a Director of Data Strategy & Insights to lead our data vision and insights engine to help power our next phase of growth. As Director of Data Strategy & Insights, you'll play a pivotal role in shaping the strategic direction of our marketplace. You'll partner closely with product, revenue, and executive teams to ensure we're building the right products, unlocking new growth opportunities, and making data-driven decisions that fuel the company's next phase of scale. This is both a highly strategic and hands-on role - ideal for a leader who can connect data to business impact, influence across teams, and elevate how insights guide decision-making at every level of the organization. What You'll Do at Artsy: Drive Strategic Decision-Making: Partner with senior leadership to define, measure, and evaluate company and product strategy. Translate complex data into actionable insights that shape product direction, marketplace health, and revenue growth. Influence Product & Marketplace Strategy: Collaborate with Product, Design, and Engineering leaders to identify opportunities that improve liquidity, conversion, and customer retention. Use data to ensure we're building the right products and experiences for both sides of the marketplace. Develop a Holistic Data Strategy: Lead the development of frameworks and models that inform key business levers - supply-demand dynamics, pricing, customer segmentation, lifetime value, and growth forecasting. Enable Company-Wide Insight: Build scalable processes, dashboards, and reporting systems that democratize access to insights across the company. Ensure teams can make faster, smarter, and more autonomous decisions. Partner Across Functions: Work cross-functionally with Marketing, Operations, and Finance to understand growth drivers, customer behavior, and operational efficiency, and to align data strategy with overall company objectives. Lead and evolve the Data Function: Mentor analysts and data scientists; raise the bar for analytical rigor, storytelling, and influence. Establish best practices for experimentation, measurement, and strategic analysis. Expand the impact on product development, especially around data-driven decision making. This role is a fit for you if: You're an analytical leader who balances strategic thinking with executional depth. You see data not as a report but as a lens into the business - helping teams make smarter, faster decisions that accelerate growth and deliver impact at scale You have 8+ years of experience in data, data science, strategy, or analytics role, ideally within a consumer experience, marketplace or technology platform business You have a proven track record of using data to influence product and company strategy at the leadership level Have a deep understanding of product analytics, experimentation, and marketplace dynamics. Are a strong strategic thinker with the ability to distill complex data into clear narratives and recommendations for executives Have experience building and leading data teams and implementing scalable analytics processes and tools Have exceptional communication and storytelling skills - able to translate data into strategic clarity and inspire action across teams Have expertise in SQL and proficiency with a statistical programming language (Python, R, etc.) Are a dedicated people leader with a track record of nurturing and growing talent, helping your team members thrive in a fast-paced environment in high-impact roles What success looks like in your first 3-6 months: 3 Months Build strong relationships with your data analyst and the PDDE leadership team Evaluate the current state of data, data science, analytics, testing frameworks, tooling, and workflows, and identify key opportunities for improvement Establish trust and strong partnerships with cross-functional peers by demonstrating strong data product thinking and a collaborative mindset Partner with CPO to create an initial proposal and plan to create a Data & Decision Product 6 Months Become the go-to expert on data, data science, and analytics practices and processes Roll out a refined vision for the Data function, aligned with Artsy's business goals and product strategy Drive one or more impactful changes across the design organization e.g. improving velocity, raising quality, or strengthening customer focus Drive the development and GTM, including the initial launch, for our Data & Decision Product We know no one is a perfect match on paper, so if you're passionate about this role, we're excited to learn how your skills, experiences, and insights could make a difference. What We Offer: Opportunity to reimagine the art industry while working with a talented, diverse, international team. Competitive salary and equity Flexible time off: our culture of trust and empowerment allows employees to take the time they need away from work while still excelling in their roles We are a global hybrid team: most employees work from our NYC, London, or Berlin offices 2-3 days per week. (In-person expectations vary by role) Private healthcare & benefit options, including: medical, dental, enhanced parental leave, Pension Plan, life assurance, Employee Assistance Programme featuring free mental health support, physio, and more Professional development, including: mentoring, lunch & learns, regular training, 1:1 management, and an open feedback culture Engaging opportunities and internal programming globally, to foster new relationships and build upon our collaborative community. Including: happy hours, holiday parties, global "All Hands" meetings, "Artsy Salon" (a yearly exhibition of our team's creativity), attendance to art world events, and more The salary range for this role is £100,000-130,000 annually. Artsy is committed to equitable compensation practices, and your offer will depend on the relevant experience and skillset you bring to the team. All compensation packages include meaningful Artsy equity and competitive health benefits. Please see our "What We Offer" above for more detail, or speak to our Talent Acquisition Team to learn more! Please note that we do not accept applications sent by email. You should submit your application directly through our careers website! Artsy Values Artsy has five core values that will inform your experience at Artsy. For the Love of Art: We show relentless curiosity, empathy, and passion for collectors, artists, gallerists, and the art market. We take action to make the art world more fair and welcoming. Own Our Outcomes: We are all individual owners of Artsy's shared success. We are resourceful and resilient, and to get the job done, we each take responsibility for our outcomes. Lead with Openness: We trust in our teammates. We seek diverse perspectives, communicate authentically, and act with integrity. A more open art world starts with us. Transform Together: Our mission asks us to challenge the status quo. We embrace feedback, learning, and change so that we can transform our industry, our company, and ourselves. Impact Over Perfection: Using both art and science, we debate and decide swiftly and iterate on our plans as we learn. To make the biggest impact, we prioritize speed and clarity of action over perfection. Artsy is an equal opportunity employer. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status.
Jan 10, 2026
Full time
Artsy is seeking a Director of Data Strategy & Insights to lead our data vision and insights engine to help power our next phase of growth. As Director of Data Strategy & Insights, you'll play a pivotal role in shaping the strategic direction of our marketplace. You'll partner closely with product, revenue, and executive teams to ensure we're building the right products, unlocking new growth opportunities, and making data-driven decisions that fuel the company's next phase of scale. This is both a highly strategic and hands-on role - ideal for a leader who can connect data to business impact, influence across teams, and elevate how insights guide decision-making at every level of the organization. What You'll Do at Artsy: Drive Strategic Decision-Making: Partner with senior leadership to define, measure, and evaluate company and product strategy. Translate complex data into actionable insights that shape product direction, marketplace health, and revenue growth. Influence Product & Marketplace Strategy: Collaborate with Product, Design, and Engineering leaders to identify opportunities that improve liquidity, conversion, and customer retention. Use data to ensure we're building the right products and experiences for both sides of the marketplace. Develop a Holistic Data Strategy: Lead the development of frameworks and models that inform key business levers - supply-demand dynamics, pricing, customer segmentation, lifetime value, and growth forecasting. Enable Company-Wide Insight: Build scalable processes, dashboards, and reporting systems that democratize access to insights across the company. Ensure teams can make faster, smarter, and more autonomous decisions. Partner Across Functions: Work cross-functionally with Marketing, Operations, and Finance to understand growth drivers, customer behavior, and operational efficiency, and to align data strategy with overall company objectives. Lead and evolve the Data Function: Mentor analysts and data scientists; raise the bar for analytical rigor, storytelling, and influence. Establish best practices for experimentation, measurement, and strategic analysis. Expand the impact on product development, especially around data-driven decision making. This role is a fit for you if: You're an analytical leader who balances strategic thinking with executional depth. You see data not as a report but as a lens into the business - helping teams make smarter, faster decisions that accelerate growth and deliver impact at scale You have 8+ years of experience in data, data science, strategy, or analytics role, ideally within a consumer experience, marketplace or technology platform business You have a proven track record of using data to influence product and company strategy at the leadership level Have a deep understanding of product analytics, experimentation, and marketplace dynamics. Are a strong strategic thinker with the ability to distill complex data into clear narratives and recommendations for executives Have experience building and leading data teams and implementing scalable analytics processes and tools Have exceptional communication and storytelling skills - able to translate data into strategic clarity and inspire action across teams Have expertise in SQL and proficiency with a statistical programming language (Python, R, etc.) Are a dedicated people leader with a track record of nurturing and growing talent, helping your team members thrive in a fast-paced environment in high-impact roles What success looks like in your first 3-6 months: 3 Months Build strong relationships with your data analyst and the PDDE leadership team Evaluate the current state of data, data science, analytics, testing frameworks, tooling, and workflows, and identify key opportunities for improvement Establish trust and strong partnerships with cross-functional peers by demonstrating strong data product thinking and a collaborative mindset Partner with CPO to create an initial proposal and plan to create a Data & Decision Product 6 Months Become the go-to expert on data, data science, and analytics practices and processes Roll out a refined vision for the Data function, aligned with Artsy's business goals and product strategy Drive one or more impactful changes across the design organization e.g. improving velocity, raising quality, or strengthening customer focus Drive the development and GTM, including the initial launch, for our Data & Decision Product We know no one is a perfect match on paper, so if you're passionate about this role, we're excited to learn how your skills, experiences, and insights could make a difference. What We Offer: Opportunity to reimagine the art industry while working with a talented, diverse, international team. Competitive salary and equity Flexible time off: our culture of trust and empowerment allows employees to take the time they need away from work while still excelling in their roles We are a global hybrid team: most employees work from our NYC, London, or Berlin offices 2-3 days per week. (In-person expectations vary by role) Private healthcare & benefit options, including: medical, dental, enhanced parental leave, Pension Plan, life assurance, Employee Assistance Programme featuring free mental health support, physio, and more Professional development, including: mentoring, lunch & learns, regular training, 1:1 management, and an open feedback culture Engaging opportunities and internal programming globally, to foster new relationships and build upon our collaborative community. Including: happy hours, holiday parties, global "All Hands" meetings, "Artsy Salon" (a yearly exhibition of our team's creativity), attendance to art world events, and more The salary range for this role is £100,000-130,000 annually. Artsy is committed to equitable compensation practices, and your offer will depend on the relevant experience and skillset you bring to the team. All compensation packages include meaningful Artsy equity and competitive health benefits. Please see our "What We Offer" above for more detail, or speak to our Talent Acquisition Team to learn more! Please note that we do not accept applications sent by email. You should submit your application directly through our careers website! Artsy Values Artsy has five core values that will inform your experience at Artsy. For the Love of Art: We show relentless curiosity, empathy, and passion for collectors, artists, gallerists, and the art market. We take action to make the art world more fair and welcoming. Own Our Outcomes: We are all individual owners of Artsy's shared success. We are resourceful and resilient, and to get the job done, we each take responsibility for our outcomes. Lead with Openness: We trust in our teammates. We seek diverse perspectives, communicate authentically, and act with integrity. A more open art world starts with us. Transform Together: Our mission asks us to challenge the status quo. We embrace feedback, learning, and change so that we can transform our industry, our company, and ourselves. Impact Over Perfection: Using both art and science, we debate and decide swiftly and iterate on our plans as we learn. To make the biggest impact, we prioritize speed and clarity of action over perfection. Artsy is an equal opportunity employer. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status.
Join Barclays as a Java and Python developer and be involved in building the technology platform supporting the Barclays Quantitative Investment Strategies business (QIS). The team is working on a multi-year transformation programme to build a more capable, streamlined, and high-performance platform, as a key enabler for the ambitious expansion of the Barclays QIS business. To be successful as a Java / Python developer within this team, you should have experience with: Java development - Core Java, Collections, Multi-Threading and Concurrency, OOPS concepts, Exception Handling, JVM Concepts, Spring Framework (Spring Boot), SQL Python development - Python, service frameworks FasAPI/Flask/Gunicorn, OOPS concepts, Exception Handling, Data Analysis and data structures / pandas / numpy; Data Serialization; interaction with data - SQL Alchemy/Redis/S3; Best python coding practices. Ability to thrive in a pressured front office environment - fast-moving, complex, volatile, uncertain. Other highly valued skills include: Solid understanding of good software development practices (TDD, SDLC, Containerization, instrumentation, observability). Experience in developing, maintaining & debugging multi-protocol distributed services (REST / MQ / Solace / Kafka / etc) Good business knowledge of equity derivatives and risk, or derivatives more widely, and ability to acquire new knowledge quickly on the job. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role would be based out of our Barclays headquarters, 1 Churchill Place, London Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Jan 09, 2026
Full time
Join Barclays as a Java and Python developer and be involved in building the technology platform supporting the Barclays Quantitative Investment Strategies business (QIS). The team is working on a multi-year transformation programme to build a more capable, streamlined, and high-performance platform, as a key enabler for the ambitious expansion of the Barclays QIS business. To be successful as a Java / Python developer within this team, you should have experience with: Java development - Core Java, Collections, Multi-Threading and Concurrency, OOPS concepts, Exception Handling, JVM Concepts, Spring Framework (Spring Boot), SQL Python development - Python, service frameworks FasAPI/Flask/Gunicorn, OOPS concepts, Exception Handling, Data Analysis and data structures / pandas / numpy; Data Serialization; interaction with data - SQL Alchemy/Redis/S3; Best python coding practices. Ability to thrive in a pressured front office environment - fast-moving, complex, volatile, uncertain. Other highly valued skills include: Solid understanding of good software development practices (TDD, SDLC, Containerization, instrumentation, observability). Experience in developing, maintaining & debugging multi-protocol distributed services (REST / MQ / Solace / Kafka / etc) Good business knowledge of equity derivatives and risk, or derivatives more widely, and ability to acquire new knowledge quickly on the job. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role would be based out of our Barclays headquarters, 1 Churchill Place, London Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Data Science Manager page is loaded Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Manager, Hotel Optimization Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era. What you will do, responsibilities and competencies: Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Build and maintain API connectivity using Json automation/Python Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What you will bring, experience and qualification: Bachelor's in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master's preferred Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards. Experience with at least one programming language (Python/R) Good communication skills with passion for storytelling, bringing data to life Experience managing a team would be an asset, but not required What we will offer Learning and development opportunity. Mentoring program. Flexible home working option. Competitive benefits. Diverse team that is globally based. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more!All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Jan 09, 2026
Full time
Data Science Manager page is loaded Data Science Managerlocations: United Kingdomtime type: Full timeposted on: Posted 30+ Days Agojob requisition id: J-76580Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Manager, Hotel Optimization Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era. What you will do, responsibilities and competencies: Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Build and maintain API connectivity using Json automation/Python Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What you will bring, experience and qualification: Bachelor's in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master's preferred Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards. Experience with at least one programming language (Python/R) Good communication skills with passion for storytelling, bringing data to life Experience managing a team would be an asset, but not required What we will offer Learning and development opportunity. Mentoring program. Flexible home working option. Competitive benefits. Diverse team that is globally based. Location United Kingdom The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Inclusion in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. And much more!All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult the .If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Jan 09, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Jan 09, 2026
Contractor
An exciting opportunity has arisen for a Senior Software Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare. As a Senior Software Engineer, you will be contributing to the development and scaling of secure, reliable software in a collaborative, agile environment. This is a contract-based role (12 weeks) offering hybrid / remote working options, a salary range of £500 - £700 per day (Inside IR35) and benefits. You will be responsible for: Building and scaling new software products within an agile squad. Supporting the delivery of innovative health-tech services that positively impact society. Collaborating closely with cross-functional teams including product, UX, and engineering leads. Applying engineering expertise across backend and full-stack development. What we are looking for Previously worked as a Software Engineer, Backend Engineer, Full Stack Developer, Backend Developer, Cloud Engineer, Python Developer, Node.js Developer, Platform Engineer, Infrastructure Engineer or in a similar role. Strong background in cloud-hosted web applications and backend services. Expertise in Node.js, Ruby on Rails, Python; knowledge of Golang or Typescript is advantageous. Experience with agile methodologies, Git, and GitHub workflows. Competence in developing and maintaining large-scale web applications, both frontend and backend. Familiarity with CI/CD pipelines, test-driven development, and code reviews. Proficient in data modelling and relational databases such as PostgreSQL. Experience with Infrastructure as Code, particularly Terraform. Knowledge of cloud platforms including Azure (preferred), AWS, or GCP. Understanding of security and regulatory requirements in software design. This is a unique opportunity to join a forward-thinking tech team and make a tangible difference. Apply now to be part of this exciting venture. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone, or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us. Additional Resources Ltd is an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.
Job Title: Senior Systems Developer DETAILS We are seeking a highly skilled Senior Systems Developer with extensive experience in data architecture, system design, and enterprise-level application development. The successful candidate will be responsible for constructing scalable systems, designing robust data models, and guiding the technical direction of backend and data-driven solutions across the organisation. DUTIES & RESPONSIBILITIES Design, develop, and maintain sophisticated backend systems, APIs, and services. Lead architectural decisions to ensure systems are scalable, secure, and high-performing. Implement best practices for software engineering, and cloud-native development. Collaborate with cross-functional teams (Data Engineering, DevOps, Product, QA) to conceptualise and deliver high-quality solutions. Define and implement enterprise data models, data flows, and database schemas. Architect and maintain data pipelines, data lakes, and data warehouses. Optimise data storage, retrieval, partitioning, and indexing strategies for performance and scalability. Ensure data quality, governance, lineage, and compliance with security standards. Develop integrations between internal and external systems utilising APIs, ETL tools, and messaging systems. Automate workflows, monitoring, and deployment processes. Drive platform modernisation initiatives and migrations to cloud. Participate in code reviews, architecture meetings, and technical strategy discussions. Provide expert guidance on system performance, scalability, and troubleshooting. SKILLS, EXPERIENCE & QUALIFICATIONS Bachelor s or Master s degree in Computer Science, Information Technology, or related discipline. Minimum 8 years of experience in systems development, with at least 2 years dedicated to data architecture. Demonstrated success in delivering enterprise-grade systems and data platforms. Strong programming expertise in Python and AI skills. Profound understanding of system architecture, design patterns, and microservices. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Expertise in SQL and NoSQL database technologies. Knowledge of ETL/ELT frameworks, data modelling and data governance. Familiarity with containerisation and orchestration tools such as Docker and Kubernetes. Awareness of security frameworks, including authentication and authorisation protocols. Analytical and problem-solving capabilities. Excellent communication and documentation skills. Ability to work independently and lead cross-functional teams. Adaptability to rapidly evolving technological environments PREFERRED SKILLS Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. Git, CI/CD pipelines. Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. Exposure to AI/ML workflows and model deployment. Experience with streaming systems and real-time architecture. Knowledge of event-driven and serverless architectural patterns. The Salary will be £ 42,500 - £ 45,500 DOE Type: Permanent
Jan 09, 2026
Full time
Job Title: Senior Systems Developer DETAILS We are seeking a highly skilled Senior Systems Developer with extensive experience in data architecture, system design, and enterprise-level application development. The successful candidate will be responsible for constructing scalable systems, designing robust data models, and guiding the technical direction of backend and data-driven solutions across the organisation. DUTIES & RESPONSIBILITIES Design, develop, and maintain sophisticated backend systems, APIs, and services. Lead architectural decisions to ensure systems are scalable, secure, and high-performing. Implement best practices for software engineering, and cloud-native development. Collaborate with cross-functional teams (Data Engineering, DevOps, Product, QA) to conceptualise and deliver high-quality solutions. Define and implement enterprise data models, data flows, and database schemas. Architect and maintain data pipelines, data lakes, and data warehouses. Optimise data storage, retrieval, partitioning, and indexing strategies for performance and scalability. Ensure data quality, governance, lineage, and compliance with security standards. Develop integrations between internal and external systems utilising APIs, ETL tools, and messaging systems. Automate workflows, monitoring, and deployment processes. Drive platform modernisation initiatives and migrations to cloud. Participate in code reviews, architecture meetings, and technical strategy discussions. Provide expert guidance on system performance, scalability, and troubleshooting. SKILLS, EXPERIENCE & QUALIFICATIONS Bachelor s or Master s degree in Computer Science, Information Technology, or related discipline. Minimum 8 years of experience in systems development, with at least 2 years dedicated to data architecture. Demonstrated success in delivering enterprise-grade systems and data platforms. Strong programming expertise in Python and AI skills. Profound understanding of system architecture, design patterns, and microservices. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Expertise in SQL and NoSQL database technologies. Knowledge of ETL/ELT frameworks, data modelling and data governance. Familiarity with containerisation and orchestration tools such as Docker and Kubernetes. Awareness of security frameworks, including authentication and authorisation protocols. Analytical and problem-solving capabilities. Excellent communication and documentation skills. Ability to work independently and lead cross-functional teams. Adaptability to rapidly evolving technological environments PREFERRED SKILLS Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. Git, CI/CD pipelines. Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. Exposure to AI/ML workflows and model deployment. Experience with streaming systems and real-time architecture. Knowledge of event-driven and serverless architectural patterns. The Salary will be £ 42,500 - £ 45,500 DOE Type: Permanent
Hispanic Alliance for Career Enhancement
City, Belfast
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Jan 09, 2026
Full time
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom
Role: AI Safety Researcher Type: Contract (6 Months) Location: London (Fully Remote) Payrate: 480 - 530 per day on PAYE 550 - 610 per day on RUPAYE 650 - 725 per day INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking data. Who You Are Safety Expert: Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jan 09, 2026
Contractor
Role: AI Safety Researcher Type: Contract (6 Months) Location: London (Fully Remote) Payrate: 480 - 530 per day on PAYE 550 - 610 per day on RUPAYE 650 - 725 per day INSIDE IR35 Umbrella What You'll Do Red-Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking data. Who You Are Safety Expert: Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it praveen. Com Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
Jan 09, 2026
Full time
Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science, and Machine Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working with product, risk, and engineering teams to turn data and ML into tangible customer outcomes. The role You will join a growing data science team focused on credit cards and wider consumer lending. Your work will span the full ML lifecycle, from exploratory analysis and model build, through to working with ML Engineers to get models into production and keep them performing as the data strategy matures. The team is open to Data Scientists at different stages, from those looking to build on a first industry role, through to more experienced practitioners who want broader ownership and influence. What you will be doing Building and enhancing Python based ML models across the credit card portfolio Using SQL on large, complex datasets to engineer robust, reusable features Partnering with ML Engineers to deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will join a friendly team that values curiosity, knowledge sharing, and personal growth. There is genuine scope to shape how ML and AI are used in the business, whether you see your future in deeper technical expertise or in a more leadership focused path. If this sounds like the kind of environment you want to be part of, we would love to hear from you.
Data Engineering Team Lead / Lead Data Engineer Full Time / Permanent 65,000 - 85,000 dependant on experience + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required with occasional travel to London The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in Oxfordshire, UK. This would be a hybrid role requiring 1 day a week in the Oxfordshire head office and occasional travel to the London office. The Role: I am looking for an experienced Data Engineering Team Lead / Lead Data Engineer who can oversee a small team of experienced Data Engineers, set technical direction and set up new processes in an efficient manner. This is a role where you can really make your mark and impact change very quickly. The Data Engineering Team Lead / Lead Data Engineer will remain hands-on and will ideally have experience with Databricks and Azure however the leadership experience and behaviours are the priority for this role. The Person: The successful candidate must have proven experience operating as a Team Lead / Lead Data Engineer with the ability to design, build, and maintain scalable data pipelines and solutions. You must be able to work closely with the Data Architect to interpret data architecture designs into actionable build plans and lead the development of data processing workflows. From a technical standpoint you will ideally possess / or aspire to learn: Knowledge or experience of Databricks including Unity Catolog and Spark SQL. Programming skills, preferably in Python and SQL. Knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage Accounts. Knowledge of previous experience working with Terraform to define, deploy, and manage cloud infrastructure as code in a scalable and repeatable manner, integration and automation of CI/CD data pipelines to support deployment of data services and environments. Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Jan 09, 2026
Full time
Data Engineering Team Lead / Lead Data Engineer Full Time / Permanent 65,000 - 85,000 dependant on experience + car allowance, generous bonus, private medical and other extensive benefits Hybrid - 1 day a week in the Oxfordshire head office required with occasional travel to London The Company: My client is an industry leading and award-winning financial services organisation who operate on a global scale. They are headquartered in Oxfordshire, UK. This would be a hybrid role requiring 1 day a week in the Oxfordshire head office and occasional travel to the London office. The Role: I am looking for an experienced Data Engineering Team Lead / Lead Data Engineer who can oversee a small team of experienced Data Engineers, set technical direction and set up new processes in an efficient manner. This is a role where you can really make your mark and impact change very quickly. The Data Engineering Team Lead / Lead Data Engineer will remain hands-on and will ideally have experience with Databricks and Azure however the leadership experience and behaviours are the priority for this role. The Person: The successful candidate must have proven experience operating as a Team Lead / Lead Data Engineer with the ability to design, build, and maintain scalable data pipelines and solutions. You must be able to work closely with the Data Architect to interpret data architecture designs into actionable build plans and lead the development of data processing workflows. From a technical standpoint you will ideally possess / or aspire to learn: Knowledge or experience of Databricks including Unity Catolog and Spark SQL. Programming skills, preferably in Python and SQL. Knowledge and experience in Azure, including working with Azure Data Factory and Azure Storage Accounts. Knowledge of previous experience working with Terraform to define, deploy, and manage cloud infrastructure as code in a scalable and repeatable manner, integration and automation of CI/CD data pipelines to support deployment of data services and environments. Contact: Please apply via the link or contact (url removed) for more information. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Migrant Help have an exciting opportunity to recruit a Data Analyst to join our team! Location: Home based Contract: Permanent ? Salary: £37,000 About us: Migrant Help is a leading charity that was established in 1963 and delivers a range of support and advice services to people affected by displacement and exploitation across the UK. Our vision is for a global society that protects vulnerable people, treats them with respect and enables them to reach their full potential. The Data Analyst role: Part of the Technology and Transformation Analytics team, the Data Analyst is an insightful and impactful role at Migrant Help. You will lead contract performance reporting and support the development and dissemination of management information, collaborating with stakeholders to understand business needs and drive data-informed decision-making. You will drive data excellence through end-to-end design, development, and maintenance of robust data models, dynamic dashboards, and insightful reports using a range of technologies, including SQL Server, Azure Synapse, Python and Power BI. If you have demonstrable experience collating and analysing data, with strong problem solving skills, and are looking for an exciting role that makes a difference, we d love to hear from you! Key responsibilities of our Data Analyst: Design, build and maintain key performance indicators and management reports, delivering weekly and monthly insights, while ensuring accurate integration into strategic reporting cycles. Develop scalable Power BI dashboards and data visualisation outputs, underpinned by well governed models, and documented data pipelines. Partner with stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit?for?purpose data models, views and transformations that enable reliable, near real?time reporting solutions. Document data lineage and definitions to support transparency and reuse. Ensure data quality and integrity through rigorous validation, cleaning and reconciliation processes, fostering trust and reliability in all reporting outputs. Contribute to standardised metrics and data dictionaries to promote consistency and clarity across the organisation. The experience and skills you need to become our Data Analyst: Experience collating and analysing management information and performance metrics. Strong SQL skills with experience querying relational databases (e.g. SQL Server). Exposure to data modelling, enrichment and transformation techniques. Ability to work with complex datasets and apply business logic to analytical outputs. Excellent communication skills with the ability to explain insights to technical and non?technical audiences in clear written English. Migrant Help is committed to safeguarding those we provide a service to, applicants will have to undergo strict vetting procedures throughout different stages of the recruitment process therefore: ? This post is subject to a Disclosure and Barring Service (DBS) check This post is subject to a Counter Terrorism Check (CTC) therefore applicants must: Be able to provide a valid passport eg. 10 year full British passport, EU or non-EU Passport with indefinite leave to remain Be able to provide continuous UK address history for the previous 5 years Provide full employment history for the previous 3 years and/or suitable documentation to cover any gaps in employment These are some of the benefits we offer: Our working week is 35 hours per week offering flexibility and work life balance Enhanced family friendly provisions Employees will gain an extra day annual leave per year to a maximum of 39 days, including bank holidays (pro-rata). Option to buy or sell up to 5 days of annual leave Access to Perkbox, an employee rewards and benefits platform with over 9,000 deals and discounts, a range of free perks, employee wellbeing support and other additional employee benefits and recognitions. Wellbeing support. Migrant Help offers employees a non-contributory pension scheme Migrant Help pays 8% worth of employee salary into the pension scheme. Closing Date: 20th February 2026 If you are interested in becoming our new Data Analyst, please click 'APPLY' today. We look forward to hearing from you! We encourage applications from disabled people by offering them an interview if they meet the minimum criteria for the job Please note this vacancy may close early depending on applications received As part of your role, it is important you operate within Migrant Help s values: Protection, Diversity, Equality, Partnership, Innovation and Excellence. Migrant Help is proud to be an equal opportunities employer.
Jan 09, 2026
Full time
Migrant Help have an exciting opportunity to recruit a Data Analyst to join our team! Location: Home based Contract: Permanent ? Salary: £37,000 About us: Migrant Help is a leading charity that was established in 1963 and delivers a range of support and advice services to people affected by displacement and exploitation across the UK. Our vision is for a global society that protects vulnerable people, treats them with respect and enables them to reach their full potential. The Data Analyst role: Part of the Technology and Transformation Analytics team, the Data Analyst is an insightful and impactful role at Migrant Help. You will lead contract performance reporting and support the development and dissemination of management information, collaborating with stakeholders to understand business needs and drive data-informed decision-making. You will drive data excellence through end-to-end design, development, and maintenance of robust data models, dynamic dashboards, and insightful reports using a range of technologies, including SQL Server, Azure Synapse, Python and Power BI. If you have demonstrable experience collating and analysing data, with strong problem solving skills, and are looking for an exciting role that makes a difference, we d love to hear from you! Key responsibilities of our Data Analyst: Design, build and maintain key performance indicators and management reports, delivering weekly and monthly insights, while ensuring accurate integration into strategic reporting cycles. Develop scalable Power BI dashboards and data visualisation outputs, underpinned by well governed models, and documented data pipelines. Partner with stakeholders across the organisation to define metrics and deliver analysis, translating findings into clear, actionable recommendations and compelling data stories. Engineer and manage robust ETL pipelines (including APIs) to integrate diverse data sources, enabling the creation of impactful, real-time reporting solutions. Design and maintain fit?for?purpose data models, views and transformations that enable reliable, near real?time reporting solutions. Document data lineage and definitions to support transparency and reuse. Ensure data quality and integrity through rigorous validation, cleaning and reconciliation processes, fostering trust and reliability in all reporting outputs. Contribute to standardised metrics and data dictionaries to promote consistency and clarity across the organisation. The experience and skills you need to become our Data Analyst: Experience collating and analysing management information and performance metrics. Strong SQL skills with experience querying relational databases (e.g. SQL Server). Exposure to data modelling, enrichment and transformation techniques. Ability to work with complex datasets and apply business logic to analytical outputs. Excellent communication skills with the ability to explain insights to technical and non?technical audiences in clear written English. Migrant Help is committed to safeguarding those we provide a service to, applicants will have to undergo strict vetting procedures throughout different stages of the recruitment process therefore: ? This post is subject to a Disclosure and Barring Service (DBS) check This post is subject to a Counter Terrorism Check (CTC) therefore applicants must: Be able to provide a valid passport eg. 10 year full British passport, EU or non-EU Passport with indefinite leave to remain Be able to provide continuous UK address history for the previous 5 years Provide full employment history for the previous 3 years and/or suitable documentation to cover any gaps in employment These are some of the benefits we offer: Our working week is 35 hours per week offering flexibility and work life balance Enhanced family friendly provisions Employees will gain an extra day annual leave per year to a maximum of 39 days, including bank holidays (pro-rata). Option to buy or sell up to 5 days of annual leave Access to Perkbox, an employee rewards and benefits platform with over 9,000 deals and discounts, a range of free perks, employee wellbeing support and other additional employee benefits and recognitions. Wellbeing support. Migrant Help offers employees a non-contributory pension scheme Migrant Help pays 8% worth of employee salary into the pension scheme. Closing Date: 20th February 2026 If you are interested in becoming our new Data Analyst, please click 'APPLY' today. We look forward to hearing from you! We encourage applications from disabled people by offering them an interview if they meet the minimum criteria for the job Please note this vacancy may close early depending on applications received As part of your role, it is important you operate within Migrant Help s values: Protection, Diversity, Equality, Partnership, Innovation and Excellence. Migrant Help is proud to be an equal opportunities employer.
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1 2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
Jan 09, 2026
Full time
At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve problems, drive performance, and create value. As a Data Science Manager, you'll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You'll work closely with stakeholders across the organisation to understand their challenges and apply cutting edge analytics to solve them. This is a hands on role with technical delivery at its core, combined with leadership and strategic direction. What you'll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and contribute to a 1 2 year data science roadmap, ensuring all work is aligned with business priorities and linked to core processes Embed a lean, value first culture, minimising waste and driving improvements in efficiency and EBITDA Champion data literacy and promote best practice in analytical thinking across the business Translate business problems into analytical approaches, delivering insights that inform action Support the team with hands on technical tasks where required, including coding and modelling Collaborate with Data Engineering and other teams to ensure the right data is available and accessible About you What we're looking for: A strategic thinker with experience solving complex business problems through data Strong communication and storytelling skills. Able to bring data to life for non technical audiences An inclusive and motivating leader, with experience mentoring others and creating high performing teams Comfortable working in both Agile and Waterfall environments Inquisitive mindset - always looking to challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred About us In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family member Annual bonus scheme Career progression and development opportunities Generous holiday entitlement Market leading pension scheme and life assurance Healthcare benefits including Aviva Digital GP 'MyPerks' giving you discount with over 850 retailers Free parking onsite Enhanced Family, Maternity and Paternity Leave Private Healthcare Car Allowance (company car provided in some instances) Alive with activity, our modern Head Office is home to our corporate teams that make sure everything runs smoothly. Here, you'll find comfy breakout areas, a coffee shop, Morrisons Daily and a subsidised restaurant. We are within commuting distance of Leeds, Manchester and the Yorkshire Dales - and we even have free parking! At our Head Office you will expect to find supplier showcases, charity fundraising and celebrations all year round for the events that mean the most to our colleagues. There's more to our business as it's fast paced and ever changing, as such we've got lots of fresh opportunities for you to play your part in our success. We'd love to meet you! At Morrisons, we're proud to be building a team that reflects the diversity of the communities we serve. We want every colleague to feel respected, supported and able to be themselves at work. Different voices, experiences and ways of thinking help us grow and improve and that's good for our customers too. We're always looking for people from all walks of life to join us and bring their talents to our team. Together, we can build a workplace where everyone has the chance to thrive, make a difference and belong.
The Association of Technology, Management and Applied Engineering
Overview The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next generation data experience for GSK's scientists, engineers, and decision makers, providing best in class AI/ML and data analysis environments, aggressively engineering our data at scale, and implementing scientific technology products. Role Summary The Application Engineer II is a solid individual contributor at Onyx. You will design, build, deploy, and operate data driven applications that serve our scientific community, turning loosely defined requirements into high quality features and production grade experiences. You will confidently break down small to medium sized engineering problems, lead implementation end to end, and collaborate across product, data, and platform teams. Responsibilities Design, implement, test, document, and deploy full stack, data driven cloud applications; own features end to end from MVP to production grade experiences. Develop and operate reliable APIs and services (REST/GraphQL/gRPC) with strong authentication/authorization, observability, and performance characteristics. Operate and support applications in production, including participation in on call; create and maintain runbooks/playbooks; lead resolution of bugs and incidents. Define, measure, and monitor key product and operational metrics (e.g., performance, reliability, cost); iterate to improve them through data informed decisions. Proactively improve test coverage, CI/CD pipelines, and release safety; champion automation and high quality software engineering practices. Identify and address gaps in observability, alerting, and monitoring; implement metrics, logs, traces, and SLOs that enable robust operations. Collaborate with product to refine user requirements, break down work, plan milestones, and communicate progress and risks to stakeholders. Contribute to system design within the team; propose pragmatic refactoring to reduce complexity and technical debt while balancing short and long term needs. Produce clear documentation, proposals, and technical guides so others can understand, use, and build upon your work; actively participate in code reviews. Help onboard and mentor engineers in your team; share best practices and contribute to a culture of innovation, transparency, and trust with a patient first mentality. Qualifications and Skills Bachelor's degree in a communication related field or in Computer Science, together with significant demonstrable engagement experience within IT or Pharma. Strong and dynamic communicator with excellent verbal and written communications skills. Ability to manage time effectively without supervision and to organize, prioritize and deliver tasks and projects with a sense of urgency. Deep knowledge and use of at least one common web backend language (e.g., Python, Scala, Java, JavaScript (Node.js and associated toolchains for documentation, testing, and operations. Experience developing and deploying applications in a cloud environment (Google Cloud preferred, AWS or Azure). Strong experience with modern software development tools and ways of working (e.g., Git/GitHub, DevOps tools, metrics/monitoring). Proficiency in front end technologies: JavaScript, TypeScript, React.js, Angular.js or similar. API development using standards such as REST/GraphQL/gRPC. Experience with an open source web framework (Python, Java, Scala or similar). Experience with Authentication & Authorization mechanisms such as OAuth2. Experience with CI/CD implementations using Git and a common CI/CD stack. Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications and Skills Master's degree or higher. Significant experience delivering cross functional projects. Experience embedding operation excellence culture within teams. Knowledge of database modelling, database concepts and SQL. Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar. Closing Date for Applications Tuesday 6th January 2026 (COB) Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law. Adjustment Contact If you require an adjustment to the application or selection process to enable you to demonstrate your ability to perform the job requirements, please contact or . The helpline is available from 8.30 am to 12.00 noon Monday to Friday.
Jan 09, 2026
Full time
Overview The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward building a next generation data experience for GSK's scientists, engineers, and decision makers, providing best in class AI/ML and data analysis environments, aggressively engineering our data at scale, and implementing scientific technology products. Role Summary The Application Engineer II is a solid individual contributor at Onyx. You will design, build, deploy, and operate data driven applications that serve our scientific community, turning loosely defined requirements into high quality features and production grade experiences. You will confidently break down small to medium sized engineering problems, lead implementation end to end, and collaborate across product, data, and platform teams. Responsibilities Design, implement, test, document, and deploy full stack, data driven cloud applications; own features end to end from MVP to production grade experiences. Develop and operate reliable APIs and services (REST/GraphQL/gRPC) with strong authentication/authorization, observability, and performance characteristics. Operate and support applications in production, including participation in on call; create and maintain runbooks/playbooks; lead resolution of bugs and incidents. Define, measure, and monitor key product and operational metrics (e.g., performance, reliability, cost); iterate to improve them through data informed decisions. Proactively improve test coverage, CI/CD pipelines, and release safety; champion automation and high quality software engineering practices. Identify and address gaps in observability, alerting, and monitoring; implement metrics, logs, traces, and SLOs that enable robust operations. Collaborate with product to refine user requirements, break down work, plan milestones, and communicate progress and risks to stakeholders. Contribute to system design within the team; propose pragmatic refactoring to reduce complexity and technical debt while balancing short and long term needs. Produce clear documentation, proposals, and technical guides so others can understand, use, and build upon your work; actively participate in code reviews. Help onboard and mentor engineers in your team; share best practices and contribute to a culture of innovation, transparency, and trust with a patient first mentality. Qualifications and Skills Bachelor's degree in a communication related field or in Computer Science, together with significant demonstrable engagement experience within IT or Pharma. Strong and dynamic communicator with excellent verbal and written communications skills. Ability to manage time effectively without supervision and to organize, prioritize and deliver tasks and projects with a sense of urgency. Deep knowledge and use of at least one common web backend language (e.g., Python, Scala, Java, JavaScript (Node.js and associated toolchains for documentation, testing, and operations. Experience developing and deploying applications in a cloud environment (Google Cloud preferred, AWS or Azure). Strong experience with modern software development tools and ways of working (e.g., Git/GitHub, DevOps tools, metrics/monitoring). Proficiency in front end technologies: JavaScript, TypeScript, React.js, Angular.js or similar. API development using standards such as REST/GraphQL/gRPC. Experience with an open source web framework (Python, Java, Scala or similar). Experience with Authentication & Authorization mechanisms such as OAuth2. Experience with CI/CD implementations using Git and a common CI/CD stack. Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications and Skills Master's degree or higher. Significant experience delivering cross functional projects. Experience embedding operation excellence culture within teams. Knowledge of database modelling, database concepts and SQL. Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar. Closing Date for Applications Tuesday 6th January 2026 (COB) Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law. Adjustment Contact If you require an adjustment to the application or selection process to enable you to demonstrate your ability to perform the job requirements, please contact or . The helpline is available from 8.30 am to 12.00 noon Monday to Friday.
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. What you'll bring to the table: Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands on technical delivery of client facing data projects across the full SDLC from design to migration, integration and live service in a multi vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc. Proven experience in quality assuring data programmes, including non functional testing and performance tuning Hands on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc. A keen understanding of industry best practice around standards, quality and continuous improvement in the field of Data Engineering Experience in conducting large scale enterprise batch and real time processing from varying sources Experience in building and designing scalable and extensible enterprise data architectures Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A 'Blended Working' model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to the application or interview process so please speak to our recruitment team.
Jan 09, 2026
Full time
Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. We believe our work should always leave a legacy for the client. We do this through close relationships with our offices (or 'Clubs') so that our partners are always prioritised by a regional team close to them. This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014. Join us - and help us fulfil our mission to close the world's digital skills gap. What you'll bring to the table: Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands on technical delivery of client facing data projects across the full SDLC from design to migration, integration and live service in a multi vendor environment Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc. Proven experience in quality assuring data programmes, including non functional testing and performance tuning Hands on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc. A keen understanding of industry best practice around standards, quality and continuous improvement in the field of Data Engineering Experience in conducting large scale enterprise batch and real time processing from varying sources Experience in building and designing scalable and extensible enterprise data architectures Why join AND Digital? We have three values: wonder, share, and delight. These values inform how we work with clients, and our culture: what it feels like to work for AND. We believe collaboration, ambition, curiosity and fun can drive innovation by creating a better environment for problem solving. By joining AND, we'll provide: Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people's lives. A 'Blended Working' model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery. A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self. An annual budget for training and upskilling, including allocated days off so you don't have to study in your own free time. Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members. A safe environment for you to be yourself and challenge yourself. Benefits 25 days holiday allowance + bank holidays Share scheme A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan 6% pension PLUS many more For a full list of benefits - click here Equal Opportunities Statement At AND Digital we embrace diversity and are committed to equal opportunities. We are actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you require any adjustments to be made to the application or interview process so please speak to our recruitment team.
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products - including spending, saving, investing, exchanging, travelling, and more - help our 65+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work . So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role At Revolut, we do Ops differently. Our hyper-talented operations experts don't just keep things ticking over. They're given the most complex, hard-to-solve problems in the business. Then they create elegant, scalable solutions that keep pace with our ambitious growth plans. In the military, you developed your skills in leadership, strategic thinking, teamwork, and discipline - all of which are highly valued at Revolut. As a Production Manager, you'll leverage your strengths to manage teams of up to 100 customer support agents, while collaborating closely with the Product team to drive continuous improvements in our global fintech operations. If you're a leader who can effectively balance managing people and processes while maintaining a constant drive for high performance, let's get in touch. What you'll be doing Managing a team of direct and indirect reports Exploring and defining which projects the team should prioritise, and setting a timeline to reach goals quickly Taking responsibility for your team's development, guiding and working with them to unlock their full potential Leading by example, resolving the toughest customer issues, and ensuring consistent high-level team performance Interacting and collaborating with teams from different regions and cities across the globe to constantly improve service levels Making critical business decisions by breaking down complex cases and backing up reasoning using advanced analysis Proposing, developing, and implementing systems, programmes, and processes to strengthen the foundation of exceptional customer service Building and optimising scalable processes to promote hyper-growth Owning business line metrics and improving people's performance, including decision-making quality and efficiency Establishing lasting relationships with vendors and partners What you'll need At least a 2:1 degree from a top university Experience in engineering (graduates welcome to apply) Experience working in a structured, KPI-focused environment, such as a startup Experience managing large teams composed of direct and indirect reports Leadership skills with a creative, confident, and motivational approach Excellent communication, interpersonal, and people management skills The ability to work in a fast-paced environment, managing multiple challenges simultaneously An excellent problem-solving approach and demonstrated record of executing projects that measurably improved different metrics To be logical, analytical, and have experience resolving team productivity or quality issues in efficient ways The ability to identify operational inefficiencies and provide practical solutions The ability to take a data-driven approach to identify root causes, measure performance, and drive process improvements A magic skill to break complex problems into smaller ones and to enjoy working with data Nice to have Experience working with SQL, Python, and/or R Certifications in Lean Six Sigma Building a global financial super app isn't enough. Our Revoluters are a priority, and that's why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don't use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an domain. We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it's a scam. Report it immediately. Benefits at Revolut No ping pong tables or bean bag chairs, just benefits you actually want Get what you need to succeed Financial benefits that show we value your work Flexibility to work from home, the office or abroad A free Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team Revoluters always push through! We stopped listening to excuses a long time ago - we care about results. We believe that grit, determination, skill, smartness, and courage can break through almost any wall. Deliver WOW We love building great products, we love delighting our customers, we love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs. Dream Team We select, coach, and retain the top talent only and give them all the support to achieve greatness Never Settle Revolut is for those who always strive for excellence, for those who want to become the best in the world at what they do, and those who would never settle for less. Revolut is for 10x people. Think Deeper Logic, reason, and common sense prevail over everything else in decision making at Revolut. We are open-minded, we listen, and we are always in search of the truth.
Jan 09, 2026
Full time
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products - including spending, saving, investing, exchanging, travelling, and more - help our 65+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work . So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About the role At Revolut, we do Ops differently. Our hyper-talented operations experts don't just keep things ticking over. They're given the most complex, hard-to-solve problems in the business. Then they create elegant, scalable solutions that keep pace with our ambitious growth plans. In the military, you developed your skills in leadership, strategic thinking, teamwork, and discipline - all of which are highly valued at Revolut. As a Production Manager, you'll leverage your strengths to manage teams of up to 100 customer support agents, while collaborating closely with the Product team to drive continuous improvements in our global fintech operations. If you're a leader who can effectively balance managing people and processes while maintaining a constant drive for high performance, let's get in touch. What you'll be doing Managing a team of direct and indirect reports Exploring and defining which projects the team should prioritise, and setting a timeline to reach goals quickly Taking responsibility for your team's development, guiding and working with them to unlock their full potential Leading by example, resolving the toughest customer issues, and ensuring consistent high-level team performance Interacting and collaborating with teams from different regions and cities across the globe to constantly improve service levels Making critical business decisions by breaking down complex cases and backing up reasoning using advanced analysis Proposing, developing, and implementing systems, programmes, and processes to strengthen the foundation of exceptional customer service Building and optimising scalable processes to promote hyper-growth Owning business line metrics and improving people's performance, including decision-making quality and efficiency Establishing lasting relationships with vendors and partners What you'll need At least a 2:1 degree from a top university Experience in engineering (graduates welcome to apply) Experience working in a structured, KPI-focused environment, such as a startup Experience managing large teams composed of direct and indirect reports Leadership skills with a creative, confident, and motivational approach Excellent communication, interpersonal, and people management skills The ability to work in a fast-paced environment, managing multiple challenges simultaneously An excellent problem-solving approach and demonstrated record of executing projects that measurably improved different metrics To be logical, analytical, and have experience resolving team productivity or quality issues in efficient ways The ability to identify operational inefficiencies and provide practical solutions The ability to take a data-driven approach to identify root causes, measure performance, and drive process improvements A magic skill to break complex problems into smaller ones and to enjoy working with data Nice to have Experience working with SQL, Python, and/or R Certifications in Lean Six Sigma Building a global financial super app isn't enough. Our Revoluters are a priority, and that's why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We're doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That's why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Important notice for candidates: Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. • Only apply through official Revolut channels. We don't use any third-party services or platforms for our recruitment. • Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an domain. We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it's a scam. Report it immediately. Benefits at Revolut No ping pong tables or bean bag chairs, just benefits you actually want Get what you need to succeed Financial benefits that show we value your work Flexibility to work from home, the office or abroad A free Revolut Metal subscription loaded with perks Exciting events year-round so you can get to know your team Revoluters always push through! We stopped listening to excuses a long time ago - we care about results. We believe that grit, determination, skill, smartness, and courage can break through almost any wall. Deliver WOW We love building great products, we love delighting our customers, we love turning the complexity of a chaotic world into the simplicity of a beautiful solution that truly solves customer needs. Dream Team We select, coach, and retain the top talent only and give them all the support to achieve greatness Never Settle Revolut is for those who always strive for excellence, for those who want to become the best in the world at what they do, and those who would never settle for less. Revolut is for 10x people. Think Deeper Logic, reason, and common sense prevail over everything else in decision making at Revolut. We are open-minded, we listen, and we are always in search of the truth.
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook's Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook - a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team Engineering Manager, Lead Engineer, 2 ML Engineers, 2 Backend Engineers, 1 Frontend Engineer, and 3 Automation QA Engineers. The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We're looking for you if you have Bachelor's/master's degree in computer science, Machine Learning, Statistics, or related fields. 2+ years of experience in a similar role in a production environment. Experience in transformer-based language models Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch) Demonstrated experience with natural language processing. Demonstrated experience with Python or other object-oriented programming frameworks. Demonstrated experience in using SQL for data extraction. Strong communication and data presentation skills. Strong problem-solving ability. Ability to communicate complex analysis in a clear, precise, and actionable manner. Experience working closely with software development team(s) is a plus. Experience building scalable systems in production is a plus. Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Pre-Screening with the recruiter Tech Interview + Live Coding (up to 1,5 hours) System Design interview (up to 45 min) Final interview with Engineering Manager (30 min) About SPD Technology SPD Technology is a custom software product development and IT consulting company with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote teams, working worldwide. With over 19 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries. Apply Now Send us your CV! Maybe we need you but we haven't known about that yet.
Jan 09, 2026
Full time
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Middle ML & AI Engineer to join us as part of our team. About the role PitchBook's Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. About the project PitchBook - a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team Engineering Manager, Lead Engineer, 2 ML Engineers, 2 Backend Engineers, 1 Frontend Engineer, and 3 Automation QA Engineers. The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges. Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis. Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights. Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing. Collaborate & Communicate : Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively. Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources. We're looking for you if you have Bachelor's/master's degree in computer science, Machine Learning, Statistics, or related fields. 2+ years of experience in a similar role in a production environment. Experience in transformer-based language models Proficient in deep learning frameworks (i.e, TensorFlow and PyTorch) Demonstrated experience with natural language processing. Demonstrated experience with Python or other object-oriented programming frameworks. Demonstrated experience in using SQL for data extraction. Strong communication and data presentation skills. Strong problem-solving ability. Ability to communicate complex analysis in a clear, precise, and actionable manner. Experience working closely with software development team(s) is a plus. Experience building scalable systems in production is a plus. Knowledge of financial services, investment, banking, VC, and/or PE is desired but not required. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. Embrace the opportunity for personal and professional growth Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. Be among like-minded people Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. Interview steps Pre-Screening with the recruiter Tech Interview + Live Coding (up to 1,5 hours) System Design interview (up to 45 min) Final interview with Engineering Manager (30 min) About SPD Technology SPD Technology is a custom software product development and IT consulting company with extensive expertise in various industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 650 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 2 development centers in Europe, a representative office in London, the U.K., and remote teams, working worldwide. With over 19 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries. Apply Now Send us your CV! Maybe we need you but we haven't known about that yet.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Jan 09, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Primary Details Time Type: Full timeWorker Type: Employee Data Science Lead - Pricing (Automotive Protection) London Permanent (Hybrid) About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. Having the right to work in the UK is a requirement for this role.QBE may consider sponsorship at its discretion. The opportunity We're seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection's global business, helping to strengthen our pricing and predictive modelling capabilities. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for transitioning our pricing models to python and developing our machine learning capability.If you're passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!Main responsibilities: Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high value opportunities, and deliver analytical solutions that directly influence global decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that generate actionable insights and support business decisions Ensure all models meet regulatory standards, follow best-practice governance, and are well documented Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable Collaborate across functions, including with clients, senior stakeholders, and wider business teamsThis role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions. About You You're a hands-on data scientist who enjoys solving real problems with data. You're confident using Python, comfortable working with large and complex datasets, and able to explain your work clearly to people from a wide range of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life.Skills you'll need: Strong proficiency in Python for data analysis, modelling, and solution development Familiarity with working in a Linux environment Strong understanding of machine learning and data science principles, including MLOps practices and Databricks Good experience with MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights A background in data management or analytics within financial services, ideally in general insurance A track record of developing models that deliver real and lasting business improvements Experience working with large structured and unstructured datasets Ability to define business requirements, solve complex problems, and deliver tailored analytical solutions Excellent communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and stakeholders A collaborative, open approach to working with others and building strong relationships Experience working in fast-paced environments and managing projects using agile methodologies Benefits We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: 30 days holiday a year with the option to buy up to 2 additional days. Flexible working -balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. Pension - you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. Private medical insurance - we fund fully comprehensive private medical cover for you and all the family. Family friendly policies - we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad -you can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own. Cycle-to-Work - benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.To find out more visit our Awards & Recognition We value our employee's experience with us and are proud to have been recognised for the following awards: Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our program Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance AXCO Global Insurance Awards 2024 Winner: Network Management of the Year Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year Working Dads Employer Awards 2023 Winner: Parental Policies Award Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star EmployeeYou can view all our awards Apply now and let's make it happen! If you're looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it. Skills: Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Jan 09, 2026
Full time
Primary Details Time Type: Full timeWorker Type: Employee Data Science Lead - Pricing (Automotive Protection) London Permanent (Hybrid) About QBE At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.What if you could have a positive impact - at work and in the of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind. Having the right to work in the UK is a requirement for this role.QBE may consider sponsorship at its discretion. The opportunity We're seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection's global business, helping to strengthen our pricing and predictive modelling capabilities. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office. Your new role In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you'll be responsible for transitioning our pricing models to python and developing our machine learning capability.If you're passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!Main responsibilities: Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high value opportunities, and deliver analytical solutions that directly influence global decision-making Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth Collaborate with analyst team to build, monitor, and refresh predictive models as needed Design and enhance analytics that generate actionable insights and support business decisions Ensure all models meet regulatory standards, follow best-practice governance, and are well documented Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable Collaborate across functions, including with clients, senior stakeholders, and wider business teamsThis role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions. About You You're a hands-on data scientist who enjoys solving real problems with data. You're confident using Python, comfortable working with large and complex datasets, and able to explain your work clearly to people from a wide range of backgrounds. You work well with others, think creatively, and enjoy helping bring new ideas to life.Skills you'll need: Strong proficiency in Python for data analysis, modelling, and solution development Familiarity with working in a Linux environment Strong understanding of machine learning and data science principles, including MLOps practices and Databricks Good experience with MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights A background in data management or analytics within financial services, ideally in general insurance A track record of developing models that deliver real and lasting business improvements Experience working with large structured and unstructured datasets Ability to define business requirements, solve complex problems, and deliver tailored analytical solutions Excellent communication skills, with the ability to explain technical concepts clearly to non-technical colleagues and stakeholders A collaborative, open approach to working with others and building strong relationships Experience working in fast-paced environments and managing projects using agile methodologies Benefits We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: 30 days holiday a year with the option to buy up to 2 additional days. Flexible working -balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. Pension - you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. Private medical insurance - we fund fully comprehensive private medical cover for you and all the family. Family friendly policies - we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad -you can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own. Cycle-to-Work - benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.To find out more visit our Awards & Recognition We value our employee's experience with us and are proud to have been recognised for the following awards: Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our program Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance AXCO Global Insurance Awards 2024 Winner: Network Management of the Year Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year Working Dads Employer Awards 2023 Winner: Parental Policies Award Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star EmployeeYou can view all our awards Apply now and let's make it happen! If you're looking for a career that combines your expertise and your empathy, click Apply today. Your career. At the heart of it. Skills: Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning (ML), Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought LeadershipHow to Apply:To submit your application, click "Apply" and follow the step by step process.Equal Employment Opportunity:QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
A leading tech company is seeking a Senior Data Scientist/Research Economist in Greater London. This role involves designing and conducting research on the economic impacts of AI technologies. The ideal candidate has a Master's degree in a relevant field and 4+ years of analytics experience, including coding skills in Python, R, and SQL. Responsibilities include developing new frameworks for AI engagement and communicating findings through high-impact publications. The company values diversity and promotes equal opportunity in the workplace.
Jan 09, 2026
Full time
A leading tech company is seeking a Senior Data Scientist/Research Economist in Greater London. This role involves designing and conducting research on the economic impacts of AI technologies. The ideal candidate has a Master's degree in a relevant field and 4+ years of analytics experience, including coding skills in Python, R, and SQL. Responsibilities include developing new frameworks for AI engagement and communicating findings through high-impact publications. The company values diversity and promotes equal opportunity in the workplace.
Quantitative Risk Senior Analyst page is loaded Quantitative Risk Senior Analystlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R The CRO function: The role sits within the Market Risk team within the CRO function. The CRO function is responsible for independently monitoring and assessing all risks in LCH Ltd against the standards set out by the LCH Ltd Board in the Risk Governance Framework and reporting their findings to the LCH Ltd Board, Risk Committee, TSR and Audit Committee.Specifically, the CRO function is responsible for: Establishing and maintaining risk policies for LCH Ltd to define the expected standards for risk management in detail for all enterprise risks (including financial, resilience and corporate risks) Establishing and maintaining a framework for monitoring and reporting on business performance against the defined standards; implementing standards by challenging the 'first line' where necessary Reviewing and approving any new product proposals, new member applications, policy reviews, action closure memoranda, serious incident reviews, issue escalation, new jurisdictions, new collateral requests, model changes and parameter updates via the Executive Risk Committee (ERCo) and its sub-committees the Resilience Committee (ResCo) and the Financial Risk Working Group (FRWG) Providing assurance to regulators in the relevant jurisdictions that regulatory standards in relation to Risk Management are being met on an on-going basisThe CRO function aims to develop a strong, diverse team of technically skilled, dedicated risk management professionals, to provide exceptional career development opportunities and a stimulating, challenging working environment. The Market Risk Team: The Market Risk team specific responsibilities include: Responsible for monitoring, assessing, reporting and managing market risk, liquidity risk, investment risk, model risk, procyclicality risk and settlement risk across all LCH Ltd business divisions (SwapClear, Listed Rates, ForexClear, RepoClear, EquityClear and CaLM). Quality control (provides challenge) for all first line new product and model and parameter changes. Monitoring risk model performance across all services by analysing backtesting and procyclicality statistics. Maintaining relevant financial risk policies (e.g. Financial Resources Adequacy Policy); regularly review policy wordings and compliance with policies. Engage with regulators, including within regular thematic reviews or Supervisory Stress Testing exercises. Key responsibilities of the role: As Quantitative Risk Senior Associate within the Market Risk team of the LCH Group Risk Department (CRO function), the role reports into and supports the Lead of Quantitative Analysis with risk models, stress testing and economic capital. The role covers all clearing services in LCH Ltd (SwapClear, Listed Rates, ForexClear, RepoClear and EquityClear) and CaLM.Specific responsibilities include: Monitoring risk model performance across all services, for example using backtesting, procyclicality and Kupiec statistics Review and challenge risk methodologies for all first line new products and model changes Participation in the Model Working Group - forum for advanced quantitative topics among LCH quants Maintain Economic Risk Capital Model and reporting Review changes to stress testing framework; conducts reverse stress testing analysis Acts as a quantitative risk expert in support of all other risk managers in the team Establishes and maintains analytical tools to enable risk analysis Build strong working relationships with internal colleagues, both within the Market Risk team and wider CRO department, and other internal teams such First Line Risk teams.Experience and skills required:Work experience Strong experience working in a quantitative risk function within a financial services organisation Good understanding of the central clearing business, with demonstrated experience of quantitative analysis in at least one of the LCH Ltd asset classesTechnical skills Strong domain expertise, including technical knowledge of risk management techniques such as Value at Risk and Stress Testing Advanced Excel and programming competency, in particular VBA, SQL, R/Python.Soft skills Highly motivated and results orientated with good organisational skills; ability to multi-task, prioritise and work to deadlines. Ability to produce clear, well-structured documentation explaining quantitative methodologies. Proactively anticipates problems and takes action rather than waiting to be told what to do, balanced with good judgment in terms of conveying information to others including more senior colleagues, and knowing when to escalate a problem. Good interpersonal skills - in particular communication and collaboration - understands the needs and preferences of the team and key partners. Demonstrates ability to adjust communication to the level of knowledge of the recipient in order to influence Ability to work well as part of a team, as well as work independently, shows a positive mentality about own work and that of the wider team.Education: Master's degree level (or equivalent experience) in a numerical, scientific, or financial subject area (e.g., mathematics, statistics, physics, engineering, or quantitative finance).Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets
Jan 09, 2026
Full time
Quantitative Risk Senior Analyst page is loaded Quantitative Risk Senior Analystlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R The CRO function: The role sits within the Market Risk team within the CRO function. The CRO function is responsible for independently monitoring and assessing all risks in LCH Ltd against the standards set out by the LCH Ltd Board in the Risk Governance Framework and reporting their findings to the LCH Ltd Board, Risk Committee, TSR and Audit Committee.Specifically, the CRO function is responsible for: Establishing and maintaining risk policies for LCH Ltd to define the expected standards for risk management in detail for all enterprise risks (including financial, resilience and corporate risks) Establishing and maintaining a framework for monitoring and reporting on business performance against the defined standards; implementing standards by challenging the 'first line' where necessary Reviewing and approving any new product proposals, new member applications, policy reviews, action closure memoranda, serious incident reviews, issue escalation, new jurisdictions, new collateral requests, model changes and parameter updates via the Executive Risk Committee (ERCo) and its sub-committees the Resilience Committee (ResCo) and the Financial Risk Working Group (FRWG) Providing assurance to regulators in the relevant jurisdictions that regulatory standards in relation to Risk Management are being met on an on-going basisThe CRO function aims to develop a strong, diverse team of technically skilled, dedicated risk management professionals, to provide exceptional career development opportunities and a stimulating, challenging working environment. The Market Risk Team: The Market Risk team specific responsibilities include: Responsible for monitoring, assessing, reporting and managing market risk, liquidity risk, investment risk, model risk, procyclicality risk and settlement risk across all LCH Ltd business divisions (SwapClear, Listed Rates, ForexClear, RepoClear, EquityClear and CaLM). Quality control (provides challenge) for all first line new product and model and parameter changes. Monitoring risk model performance across all services by analysing backtesting and procyclicality statistics. Maintaining relevant financial risk policies (e.g. Financial Resources Adequacy Policy); regularly review policy wordings and compliance with policies. Engage with regulators, including within regular thematic reviews or Supervisory Stress Testing exercises. Key responsibilities of the role: As Quantitative Risk Senior Associate within the Market Risk team of the LCH Group Risk Department (CRO function), the role reports into and supports the Lead of Quantitative Analysis with risk models, stress testing and economic capital. The role covers all clearing services in LCH Ltd (SwapClear, Listed Rates, ForexClear, RepoClear and EquityClear) and CaLM.Specific responsibilities include: Monitoring risk model performance across all services, for example using backtesting, procyclicality and Kupiec statistics Review and challenge risk methodologies for all first line new products and model changes Participation in the Model Working Group - forum for advanced quantitative topics among LCH quants Maintain Economic Risk Capital Model and reporting Review changes to stress testing framework; conducts reverse stress testing analysis Acts as a quantitative risk expert in support of all other risk managers in the team Establishes and maintains analytical tools to enable risk analysis Build strong working relationships with internal colleagues, both within the Market Risk team and wider CRO department, and other internal teams such First Line Risk teams.Experience and skills required:Work experience Strong experience working in a quantitative risk function within a financial services organisation Good understanding of the central clearing business, with demonstrated experience of quantitative analysis in at least one of the LCH Ltd asset classesTechnical skills Strong domain expertise, including technical knowledge of risk management techniques such as Value at Risk and Stress Testing Advanced Excel and programming competency, in particular VBA, SQL, R/Python.Soft skills Highly motivated and results orientated with good organisational skills; ability to multi-task, prioritise and work to deadlines. Ability to produce clear, well-structured documentation explaining quantitative methodologies. Proactively anticipates problems and takes action rather than waiting to be told what to do, balanced with good judgment in terms of conveying information to others including more senior colleagues, and knowing when to escalate a problem. Good interpersonal skills - in particular communication and collaboration - understands the needs and preferences of the team and key partners. Demonstrates ability to adjust communication to the level of knowledge of the recipient in order to influence Ability to work well as part of a team, as well as work independently, shows a positive mentality about own work and that of the wider team.Education: Master's degree level (or equivalent experience) in a numerical, scientific, or financial subject area (e.g., mathematics, statistics, physics, engineering, or quantitative finance).Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.LSEG (London Stock Exchange Group) is a leading global financial markets
